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11/02/2022
P^3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection
Inspired by the success of visual-language methods (VLMs) in zero-shot c...
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02/14/2022
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework
This paper presents a large-scale Chinese cross-modal dataset for benchm...
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02/27/2021
Transformer in Transformer
Transformer is a type of self-attention-based neural networks originally...
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01/21/2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Modern single image super-resolution (SISR) system based on convolutiona...
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12/01/2020
Pre-Trained Image Processing Transformer
As the computing power of modern hardware is increasing strongly, pre-tr...
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07/21/2020
Video Super-resolution with Temporal Group Attention
Video super-resolution, which aims at producing a high-resolution video ...
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11/27/2019
GhostNet: More Features from Cheap Operations
Deploying convolutional neural networks (CNNs) on embedded devices is di...
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04/26/2019
